Modeling Charging Infrastructure Requirements to Achieve a Holistic
E-Mobility Integration in Regional Energy Systems
Abstract
Since E-Mobility is on the rise worldwide, large Charging Infrastructure
(CI) networks are required to satisfy the upcoming Charging Demand (CD).
Understanding this CD with its spatial and temporal uncertainties is
important for grid operators to quantify the grid impact of Electric
Vehicle integration and for Charging Station (CS) operators to assess
long-term CI investments. Hence, we introduce an Agent-based E-Mobility
Model assessing regional CI systems with their multi-directional
interactions between CSs and vehicles. A Global Sensitivity Analysis
(GSA) is applied to quantify the impact of 11 technical levers on 17
relevant charging system outputs. The GSA evaluates the E-Mobility
integration in terms of grid impact, economic viability of CSs and
Service Quality of the deployed Charging Infrastructure (SQCI). Based on
this impact assessment we derive general guidelines for E-Mobility
integration into regional systems. We found, inter alia, that CI
policies should aim at allocating CSs across different types of
locations to utilize cross-locational effects such as CSs at public
locations affecting the charging peak in residential areas by up to
18%. Additionally, while improving the highway charging network is an
effective lever to increase the SQCI in urban areas, public charging is
an even stronger lever in rural areas.